class_docstr: The NodeHandler is an abstract class used to generate every possible strategies for an operator node.
  
  Args:
      node (Node): the input node in node argument list.
      device_mesh (DeviceMesh): A logical view of a physical mesh.
      strategies_vector (StrategiesVector): all the strategies generated in this handler will be recorded into the strategies_vector.
docstr: Define which generators should be used by this NodeHandler object.
docstr_tok: ["Define","which","generators","should","be","used","by","this","NodeHandler","object","."]
code: def get_strategy_generator(self) -> List[StrategyGenerator]:
      """
      Define which generators should be used by this NodeHandler object.
      """
  
imports: from abc import ABC, abstractmethod
  from typing import Dict, List, Tuple, Union
  import torch
  from torch.fx.node import Node
  from colossalai.auto_parallel.meta_profiler.shard_metainfo import ShardMetaInfo, meta_register
  from colossalai.auto_parallel.tensor_shard.options import ShardOption, SolverPerference
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import OperationData, ShardingSpec, ShardingStrategy, StrategiesVector, TrainCycleItem
  from colossalai.auto_parallel.tensor_shard.utils import check_sharding_spec_validity
  from colossalai.device.device_mesh import DeviceMesh
  from colossalai.logging import get_dist_logger
  from colossalai.tensor.shape_consistency import ShapeConsistencyManager
  from .strategy import StrategyGenerator
label_desc: Use image node_id 6 for calling the NodeHandler obj's underlying member method code with example usage: obj.get_strategy_generator() without return types